music_SNR_gujiwucha

這一篇論文的標題為「適應性BIC-MIMO-OFDM系統的性能分析和接收器設計」是2007發表的(This is a paper entitled )

利用matlab，对语音信号进行端点检测和修剪(Speech endpoint trimming)

清华大学周东华教授提出的强跟踪滤波器，有效改善突发干扰下的跟踪能力。(Strong tracking filter supposed by Pro. ZHOU Dong-hua, which enhanced the tracking ability during sudden disturb.)

计算直线，正多边形和圆形产生的磁场，利用matlab优化算法计算约束条件下的最优解(Calculated straight line, polygon and circular magnetic field generated by using matlab constrained optimization algorithm to calculate the optimal solution under the conditions of)

Matlab 利用GUI 实现了串口读取功能(Matlab GUI Serial Read and Write)

读SAC地震数据文件子程序，可以读二进制形式存储的sac文件，以及ASCII存储的asc文件(Read SAC seismic data file subroutine stored in binary form, can be read the sac files, as well as ASCII asc files stored)

Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased face retrieval by constructing semantic codewords for efficient large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.

利用卡尔曼滤波算法进行航迹融合的matlab仿真程序，附有pdf版的说明文件，非常详细，适合初学者。(Using the Kalman filtering algorithm of track fusion of MATLAB simulation program, accompanied by a PDF version of the documentation, very detailed, suitable for beginners.)

说明：  采用均值聚类的方法找出径向基函数中心，并对训练数据展开预测(Mean clustering method is used to find the center of radial basis function and forecast the training data.)

students learning code for practice